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Coaching that shows up on the next call.

Real calls and practice are scored on one rubric, and every rating points at the moment it came from.

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A hint in the moment, while they practice.

During a practice call, live hints suggest what to do next, and they can check your product docs before it answers. The rep tries the better move on the spot, not a week later in a review.

See whether it showed up on the next real call.

Practice and real calls land in one timeline, on the same rubric. Follow one dimension from the call where it went wrong, through the re-runs, to the next real conversation.

Your rubric, applied strictly.

Start from one of eight frameworks, including MEDDPICC, Challenger and SPIN, or describe your own. The judge is built to be strict, so sessions fail, and a failing score with evidence gives you something to coach.

A coach for every rep, after every call.

Mia debriefs real calls the same way she debriefs practice. She knows the scorecard and the transcript, plays back the moment that mattered, and helps the rep work out a better answer, out loud or on video.

Managers keep their time for the coaching only a manager can do.

Products in this use case

AI roleplayLive voice practice with live hints, scored on the same rubric as real calls.See AI roleplay Win/loss interviewsA coaching note for the rep, from what the buyer who chose someone else said.See win/loss interviews

Questions about coaching.

Try a four-minute roleplay call yourself.

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What does a manager actually do with a score?

Pick one dimension: the lowest, or the one that matters for the next real call. Play the moment the evidence points at and let the rep hear it. Ask what they'd do differently before telling them. Then re-run the same scenario with the same buyer and rubric so the comparison is real.

Does it work on real calls, or only practice?

Both, on the same rubric. That's the point. Practice scores and real-call scores sit side by side, so you can see whether the drilling changed how the rep actually sells rather than just how they perform in a mock.

Who does the scoring, and can we trust it?

An AI judge scores against a rubric you control, and every rating has to cite the exact moment in the transcript it came from, so you can check its reasoning rather than take a number on faith. It's built to be strict: sessions fail, and a failing score with evidence is more useful to a manager than a generous one. Eight frameworks ship in the box, including MEDDPICC, Challenger, and SPIN, and you can describe your own.

Won't reps just learn to game the score?

That's exactly what comparing practice against real calls is for. A rep whose practice scores climb while their real-call scores stay flat is learning to pass the bot, and you'll see it. It's also why we'd advise against tying compensation to roleplay scores. The moment the score is money, reps optimize for the bot rather than the buyer.

Coach the next call from the last one.

Score a real call and a practice session on the same rubric, and see what changed.

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